Editorial: Improving autism spectrum disorder diagnosis using machine learning techniques.

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  • Additional Information
    • Source:
      Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101477957 Publication Model: eCollection Cited Medium: Print ISSN: 1662-5196 (Print) Linking ISSN: 16625196 NLM ISO Abbreviation: Front Neuroinform Subsets: PubMed not MEDLINE
    • Publication Information:
      Original Publication: Lausanne, Switzerland : Frontiers Research Foundation, 2007-
    • Abstract:
      Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
    • References:
      Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:1417-1420. (PMID: 31946158)
      Front Med (Lausanne). 2024 Jul 19;11:1436646. (PMID: 39099594)
      Front Comput Neurosci. 2024 Oct 21;18:1489463. (PMID: 39498381)
    • Contributed Indexing:
      Keywords: ASD diagnosis; artificial intelligence (AI); autism; autism spectrum disorder (ASD); machine learning (ML)
    • Publication Date:
      Date Created: 20241223 Latest Revision: 20250104
    • Publication Date:
      20250104
    • Accession Number:
      PMC11659280
    • Accession Number:
      10.3389/fninf.2024.1529839
    • Accession Number:
      39712346